Search Results for author: Aditya Ravuri

Found 7 papers, 3 papers with code

Uncertainty as a Predictor: Leveraging Self-Supervised Learning for Zero-Shot MOS Prediction

no code implementations25 Dec 2023 Aditya Ravuri, Erica Cooper, Junichi Yamagishi

Predicting audio quality in voice synthesis and conversion systems is a critical yet challenging task, especially when traditional methods like Mean Opinion Scores (MOS) are cumbersome to collect at scale.

Self-Supervised Learning

Dimensionality Reduction as Probabilistic Inference

no code implementations15 Apr 2023 Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D. Lawrence

Dimensionality reduction (DR) algorithms compress high-dimensional data into a lower dimensional representation while preserving important features of the data.

Dimensionality Reduction Gaussian Processes +1

Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference

no code implementations25 Feb 2022 Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence

We show how this framework is compatible with different latent variable formulations and perform experiments to compare a suite of models.

Benchmarking Dimensionality Reduction +2

Gaussian Process Latent Variable Flows for Massively Missing Data

no code implementations pproximateinference AABI Symposium 2021 Vidhi Lalchand, Aditya Ravuri, Neil D Lawrence

The Bayesian incarnation of the GPLVM uses a variational framework, where the posterior over all unknown quantities is approximated by a well-behaved variational family, a factorised Gaussian.

Dimensionality Reduction Gaussian Processes +2

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